datasets to experiment

  1. celeb_a : can't download
  2. coil100 :
  3. dsprites
  4. flic
  5. s3o4d
  6. scene_parse150

Results

For Dateset "kitti" Calculating relative difference of log likelihood
Latent_dim = 64, Gaussiam Mixture covariance type = diag and reg_covar = 0.1

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logp Gaussin Mixture with k = 10 = -75.45441572317257
logp Gaussian Diagonal = -115.44620189247304
At k = 10 , rel_diff for logps = 0.346410583576833

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logp Gaussin Mixture with k = 20 = -69.64451526564827
logp Gaussian Diagonal = -115.44620189247304
At k = 20 , rel_diff for logps = 0.39673619292806717

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logp Gaussin Mixture with k = 50 = -55.93752814502553
logp Gaussian Diagonal = -115.44620189247304
At k = 50 , rel_diff for logps = 0.5154667089253753

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logp Gaussin Mixture with k = 70 = -50.88304211844375
logp Gaussian Diagonal = -115.44620189247304
At k = 70 , rel_diff for logps = 0.559248885763809

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logp Gaussin Mixture with k = 80 = -52.1276428852566
logp Gaussian Diagonal = -115.44620189247304
At k = 80 , rel_diff for logps = 0.5484681000262923

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logp Gaussin Mixture with k = 100 = -54.52694195135895
logp Gaussian Diagonal = -115.44620189247304
At k = 100 , rel_diff for logps = 0.5276852676180243

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logp Gaussin Mixture with k = 200 = -68.2897651271402
logp Gaussian Diagonal = -115.44620189247304
At k = 200 , rel_diff for logps = 0.40847109729304476

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For Dateset VOC Calculating relative difference of log likelihood

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logp Gaussin Mixture with k = 10 = 3239.302399019124
logp Gaussian Diagonal = 2790.16976645871
At k = 10 , rel_diff for logps = 0.16096964348174925

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logp Gaussin Mixture with k = 20 = 3334.117578802105
logp Gaussian Diagonal = 2790.16976645871
At k = 20 , rel_diff for logps = 0.19495151115259016

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logp Gaussin Mixture with k = 50 = 3411.8171131494596
logp Gaussian Diagonal = 2790.16976645871
At k = 50 , rel_diff for logps = 0.22279911214138984

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logp Gaussin Mixture with k = 70 = 3429.9682203595194
logp Gaussian Diagonal = 2790.16976645871
At k = 70 , rel_diff for logps = 0.22930448949450236

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logp Gaussin Mixture with k = 100 = 3428.6442835155385
logp Gaussian Diagonal = 2790.16976645871
At k = 100 , rel_diff for logps = 0.22882998903223795

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logp Gaussin Mixture with k = 200 = 3415.867706729245
logp Gaussian Diagonal = 2790.16976645871
At k = 200 , rel_diff for logps = 0.22425084946163418

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For Dateset wider_face Calculating relative difference of log likelihood

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logp Gaussin Mixture with k = 10 = 1726.1243177708377
logp Gaussian Diagonal = 1561.8860242887904
At k = 10 , rel_diff for logps = 0.10515382744194393

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logp Gaussin Mixture with k = 20 = 1751.7959812169918
logp Gaussian Diagonal = 1561.8860242887904
At k = 20 , rel_diff for logps = 0.1215901506095347

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logp Gaussin Mixture with k = 50 = 1776.35932923814
logp Gaussian Diagonal = 1561.8860242887904
At k = 50 , rel_diff for logps = 0.13731687307145898

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Catched expection Fitting the mixture model failed because some components have ill-defined empirical covariance (for instance caused by singleton or collapsed samples). Try to decrease the number of components, or increase reg_covar.
Catched expection Fitting the mixture model failed because some components have ill-defined empirical covariance (for instance caused by singleton or collapsed samples). Try to decrease the number of components, or increase reg_covar.
Catched expection Fitting the mixture model failed because some components have ill-defined empirical covariance (for instance caused by singleton or collapsed samples). Try to decrease the number of components, or increase reg_covar.

For Dateset "mnist" Calculating relative difference of log likelihood

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logp Gaussin Mixture with k = 10 = 7841.956234385311
logp Gaussian Diagonal = 7377.442821602376
At k = 10 , rel_diff for logps = 0.06296401395653828

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logp Gaussin Mixture with k = 20 = 7988.197403977028
logp Gaussian Diagonal = 7377.442821602376
At k = 20 , rel_diff for logps = 0.08278675919876485

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logp Gaussin Mixture with k = 50 = 8243.583374395243
logp Gaussian Diagonal = 7377.442821602376
At k = 50 , rel_diff for logps = 0.11740389912025657

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logp Gaussin Mixture with k = 70 = 8305.125097353703
logp Gaussian Diagonal = 7377.442821602376
At k = 70 , rel_diff for logps = 0.12574577644098017

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logp Gaussin Mixture with k = 100 = 8385.913961674707
logp Gaussian Diagonal = 7377.442821602376
At k = 100 , rel_diff for logps = 0.1366965714894272

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logp Gaussin Mixture with k = 200 = 8500.999476912375
logp Gaussian Diagonal = 7377.442821602376
At k = 200 , rel_diff for logps = 0.15229622004253812

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For Dateset "cifar100" Calculating relative difference of log likelihood

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logp Gaussin Mixture with k = 10 = 4348.738804362613
logp Gaussian Diagonal = 4039.8092947584987
At k = 10 , rel_diff for logps = 0.07647131016925454

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logp Gaussin Mixture with k = 20 = 4384.332721210587
logp Gaussian Diagonal = 4039.8092947584987
At k = 20 , rel_diff for logps = 0.08528210153362795

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logp Gaussin Mixture with k = 50 = 4422.78147918955
logp Gaussian Diagonal = 4039.8092947584987
At k = 50 , rel_diff for logps = 0.09479957010048548

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logp Gaussin Mixture with k = 70 = 4428.119142994677
logp Gaussian Diagonal = 4039.8092947584987
At k = 70 , rel_diff for logps = 0.09612083638205283

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logp Gaussin Mixture with k = 100 = 4425.925444793071
logp Gaussian Diagonal = 4039.8092947584987
At k = 100 , rel_diff for logps = 0.09557781614482229

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logp Gaussin Mixture with k = 200 = 4424.68448280697
logp Gaussian Diagonal = 4039.8092947584987
At k = 200 , rel_diff for logps = 0.09527063283601832

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